# WACV-2024-Papers

<table>
    <tr>
        <td><strong>Application</strong></td>
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## Explainable, Fair, Accountable, Privacy-Preserving, Ethical Computer Vision

![Section Papers](https://img.shields.io/badge/Section%20Papers-26-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-21-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-15-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-22-FF0000)

| **Title** | **Repo** | **Paper** | **Video** |
|-----------|:--------:|:---------:|:---------:|
| [Taming Normalizing Flows](https://openaccess.thecvf.com/content/WACV2024/html/Malnick_Taming_Normalizing_Flows_WACV_2024_paper.html) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://www.malnick.net/taming_norm_flows/) <br /> [![GitHub](https://img.shields.io/github/stars/ShimonMalnick/taming_norm_flows?style=flat)](https://github.com/ShimonMalnick/taming_norm_flows) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Malnick_Taming_Normalizing_Flows_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2211.16488-b31b1b.svg)](http://arxiv.org/abs/2211.16488) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=d40_GUJ0Eqk) |
| [Improving Fairness in Deepfake Detection](https://openaccess.thecvf.com/content/WACV2024/html/Ju_Improving_Fairness_in_Deepfake_Detection_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/littlejuyan/DF_Fairness?style=flat)](https://github.com/littlejuyan/DF_Fairness) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Ju_Improving_Fairness_in_Deepfake_Detection_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2306.16635-b31b1b.svg)](http://arxiv.org/abs/2306.16635) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=MABBTvNPjRI) |
| [Causal Feature Alignment: Learning to Ignore Spurious Background Features](https://openaccess.thecvf.com/content/WACV2024/html/Venkataramani_Causal_Feature_Alignment_Learning_To_Ignore_Spurious_Background_Features_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Venkataramani_Causal_Feature_Alignment_Learning_To_Ignore_Spurious_Background_Features_WACV_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=NXMqq8iDc9U) |
| [Localization and Manipulation of Immoral Visual Cues for Safe Text-to-Image Generation](https://openaccess.thecvf.com/content/WACV2024/html/Park_Localization_and_Manipulation_of_Immoral_Visual_Cues_for_Safe_Text-to-Image_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Park_Localization_and_Manipulation_of_Immoral_Visual_Cues_for_Safe_Text-to-Image_WACV_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=9_ncvvrtSQc) |
| [Causal Analysis for Robust Interpretability of Neural Networks](https://openaccess.thecvf.com/content/WACV2024/html/Ahmad_Causal_Analysis_for_Robust_Interpretability_of_Neural_Networks_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Ahmad_Causal_Analysis_for_Robust_Interpretability_of_Neural_Networks_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2305.08950-b31b1b.svg)](http://arxiv.org/abs/2305.08950) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=FCtkMPkxuxo) |
| [Improving Fairness using Vision-Language Driven Image Augmentation](https://openaccess.thecvf.com/content/WACV2024/html/DInca_Improving_Fairness_Using_Vision-Language_Driven_Image_Augmentation_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/Moreno98/Vision-Language-Bias-Control?style=flat)](https://github.com/Moreno98/Vision-Language-Bias-Control) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/DInca_Improving_Fairness_Using_Vision-Language_Driven_Image_Augmentation_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.01573-b31b1b.svg)](http://arxiv.org/abs/2311.01573) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=SGzMQuUVNxI) |
| [Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs](https://openaccess.thecvf.com/content/WACV2024/html/Liang_Linking_Convolutional_Kernel_Size_to_Generalization_Bias_in_Face_Analysis_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Liang_Linking_Convolutional_Kernel_Size_to_Generalization_Bias_in_Face_Analysis_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2302.03750-b31b1b.svg)](http://arxiv.org/abs/2302.03750) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=OJ12mD3_olc) |
| [PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks](https://openaccess.thecvf.com/content/WACV2024/html/Ding_PATROL_Privacy-Oriented_Pruning_for_Collaborative_Inference_Against_Model_Inversion_Attacks_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Ding_PATROL_Privacy-Oriented_Pruning_for_Collaborative_Inference_Against_Model_Inversion_Attacks_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2307.10981-b31b1b.svg)](http://arxiv.org/abs/2307.10981) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=_PjGHDE04pE) |
| [Towards Visual Saliency Explanations of Face Verification](https://openaccess.thecvf.com/content/WACV2024/html/Lu_Towards_Visual_Saliency_Explanations_of_Face_Verification_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Lu_Towards_Visual_Saliency_Explanations_of_Face_Verification_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2305.08546-b31b1b.svg)](http://arxiv.org/abs/2305.08546) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=C6YwLZffTAw) |
| [Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation](https://openaccess.thecvf.com/content/WACV2024/html/Huber_Efficient_Explainable_Face_Verification_Based_on_Similarity_Score_Argument_Backpropagation_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/marcohuber/xSSAB?style=flat)](https://github.com/marcohuber/xSSAB) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Huber_Efficient_Explainable_Face_Verification_Based_on_Similarity_Score_Argument_Backpropagation_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.13409-b31b1b.svg)](http://arxiv.org/abs/2304.13409) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=VgY9CEec0Zs) |
| [SynthProv: Interpretable Framework for Profiling Identity Leakage](https://openaccess.thecvf.com/content/WACV2024/html/Singh_SynthProv_Interpretable_Framework_for_Profiling_Identity_Leakage_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/jaisidhsingh/SynthProv?style=flat)](https://github.com/jaisidhsingh/SynthProv) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Singh_SynthProv_Interpretable_Framework_for_Profiling_Identity_Leakage_WACV_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=GE-gyzX80ck) |
| [Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach](https://openaccess.thecvf.com/content/WACV2024/html/Jeanneret_Text-to-Image_Models_for_Counterfactual_Explanations_A_Black-Box_Approach_WACV_2024_paper.html) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://guillaumejs2403.github.io/projects/time.html) <br /> [![GitHub](https://img.shields.io/github/stars/guillaumejs2403/TIME?style=flat)](https://github.com/guillaumejs2403/TIME) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Jeanneret_Text-to-Image_Models_for_Counterfactual_Explanations_A_Black-Box_Approach_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.07944-b31b1b.svg)](http://arxiv.org/abs/2309.07944) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=w5CSi_ZVlTY) |
| [Pixel-Grounded Prototypical Part Networks](https://openaccess.thecvf.com/content/WACV2024/html/Carmichael_Pixel-Grounded_Prototypical_Part_Networks_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/merlresearch/PixPNet?style=flat)](https://github.com/merlresearch/PixPNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Carmichael_Pixel-Grounded_Prototypical_Part_Networks_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.14531-b31b1b.svg)](http://arxiv.org/abs/2309.14531) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=c5IqzMIZ71o) |
| [How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection](https://openaccess.thecvf.com/content/WACV2024/html/Demir_How_Do_Deepfakes_Move_Motion_Magnification_for_Deepfake_Source_Detection_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Demir_How_Do_Deepfakes_Move_Motion_Magnification_for_Deepfake_Source_Detection_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.14033-b31b1b.svg)](http://arxiv.org/abs/2212.14033) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=MGLJhzUXdbQ) |
| [Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting](https://openaccess.thecvf.com/content/WACV2024/html/Arora_Hybrid_Sample_Synthesis-Based_Debiasing_of_Classifier_in_Limited_Data_Setting_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/PiyushArora1010/Hybrid-Sample-Synthesis-based-Debiasing-of-Classifier-in-Limited-Data-Setting?style=flat)](https://github.com/PiyushArora1010/Hybrid-Sample-Synthesis-based-Debiasing-of-Classifier-in-Limited-Data-Setting) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Arora_Hybrid_Sample_Synthesis-Based_Debiasing_of_Classifier_in_Limited_Data_Setting_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2312.08288-b31b1b.svg)](http://arxiv.org/abs/2312.08288) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=HQ9ebfB05H4) |
| [Analyzing the Domain Shift Immunity of Deep Homography Estimation](https://openaccess.thecvf.com/content/WACV2024/html/Shao_Analyzing_the_Domain_Shift_Immunity_of_Deep_Homography_Estimation_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/MingzhenShao/Homography_estimation?style=flat)](https://github.com/MingzhenShao/Homography_estimation) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Shao_Analyzing_the_Domain_Shift_Immunity_of_Deep_Homography_Estimation_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.09976-b31b1b.svg)](http://arxiv.org/abs/2304.09976) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=tpR0bY04BBE) |
| [RPCANet: Deep Unfolding RPCA based Infrared Small Target Detection](https://openaccess.thecvf.com/content/WACV2024/html/Wu_RPCANet_Deep_Unfolding_RPCA_Based_Infrared_Small_Target_Detection_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/fengyiwu98/RPCANet?style=flat)](https://github.com/fengyiwu98/RPCANet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Wu_RPCANet_Deep_Unfolding_RPCA_Based_Infrared_Small_Target_Detection_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.00917-b31b1b.svg)](http://arxiv.org/abs/2311.00917) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=pyYy7_7Fw3g) |
| [Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection](https://openaccess.thecvf.com/content/WACV2024/html/Hoang_Learn_To_Unlearn_for_Deep_Neural_Networks_Minimizing_Unlearning_Interference_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/hnanhtuan/projected_gradient_unlearning?style=flat)](https://github.com/hnanhtuan/projected_gradient_unlearning) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Hoang_Learn_To_Unlearn_for_Deep_Neural_Networks_Minimizing_Unlearning_Interference_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2312.04095-b31b1b.svg)](http://arxiv.org/abs/2312.04095) | :heavy_minus_sign: |
| [Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space](https://openaccess.thecvf.com/content/WACV2024/html/Valois_Occlusion_Sensitivity_Analysis_With_Augmentation_Subspace_Perturbation_in_Deep_Feature_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Valois_Occlusion_Sensitivity_Analysis_With_Augmentation_Subspace_Perturbation_in_Deep_Feature_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.15022-b31b1b.svg)](http://arxiv.org/abs/2311.15022) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=nj-ijBGfM_g) |
| [Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models](https://openaccess.thecvf.com/content/WACV2024/html/Zhang_Generated_Distributions_Are_All_You_Need_for_Membership_Inference_Attacks_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/minxingzhang/MIAGM?style=flat)](https://github.com/minxingzhang/MIAGM) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Zhang_Generated_Distributions_Are_All_You_Need_for_Membership_Inference_Attacks_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2310.19410-b31b1b.svg)](http://arxiv.org/abs/2310.19410) | :heavy_minus_sign: |
| [Do we Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration](https://openaccess.thecvf.com/content/WACV2024/html/Gilg_Do_We_Still_Need_Non-Maximum_Suppression_Accurate_Confidence_Estimates_and_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/Blueblue4/IoU-AwareCalibration?style=flat)](https://github.com/Blueblue4/IoU-AwareCalibration) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Gilg_Do_We_Still_Need_Non-Maximum_Suppression_Accurate_Confidence_Estimates_and_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2309.03110-b31b1b.svg)](http://arxiv.org/abs/2309.03110) | :heavy_minus_sign: |
| [Towards more Realistic Membership Inference Attacks on Large Diffusion Models](https://openaccess.thecvf.com/content/WACV2024/html/Dubinski_Towards_More_Realistic_Membership_Inference_Attacks_on_Large_Diffusion_Models_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Dubinski_Towards_More_Realistic_Membership_Inference_Attacks_on_Large_Diffusion_Models_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2306.12983-b31b1b.svg)](http://arxiv.org/abs/2306.12983) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=ywWjzS5q36o) |
| [ClusterFix: A Cluster-based Debiasing Approach without Protected-Group Supervision](https://openaccess.thecvf.com/content/WACV2024/html/Capitani_ClusterFix_A_Cluster-Based_Debiasing_Approach_Without_Protected-Group_Supervision_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Capitani_ClusterFix_A_Cluster-Based_Debiasing_Approach_Without_Protected-Group_Supervision_WACV_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=z5Xn59aGivk) |
| [Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace](https://openaccess.thecvf.com/content/WACV2024/html/Hong_Concept-Centric_Transformers_Enhancing_Model_Interpretability_Through_Object-Centric_Concept_Learning_Within_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/PavlicLab/WACV2024-Hong-Concept_Centric_Transformers?style=flat)](https://github.com/PavlicLab/WACV2024-Hong-Concept_Centric_Transformers) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Hong_Concept-Centric_Transformers_Enhancing_Model_Interpretability_Through_Object-Centric_Concept_Learning_Within_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2305.15775-b31b1b.svg)](http://arxiv.org/abs/2305.15775) | :heavy_minus_sign: |
| [Membership Inference Attack using Self Influence Functions](https://openaccess.thecvf.com/content/WACV2024/html/Cohen_Membership_Inference_Attack_Using_Self_Influence_Functions_WACV_2024_paper.html) | [![GitHub](https://img.shields.io/github/stars/giladcohen/sif_mi_attack?style=flat)](https://github.com/giladcohen/sif_mi_attack) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Cohen_Membership_Inference_Attack_Using_Self_Influence_Functions_WACV_2024_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2205.13680-b31b1b.svg)](http://arxiv.org/abs/2205.13680) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=0KDHWfhp5K8) |
| [CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction](https://openaccess.thecvf.com/content/WACV2024/html/Dittakavi_CARE_Counterfactual-Based_Algorithmic_Recourse_for_Explainable_Pose_Correction_WACV_2024_paper.html) | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/WACV2024/papers/Dittakavi_CARE_Counterfactual-Based_Algorithmic_Recourse_for_Explainable_Pose_Correction_WACV_2024_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5PJW82QdRtg) |
